ZIP code
30423
in Daisy, GeorgiaPopulation 56
32.54/ 100
Ranked #30,162 of 32,066 US ZIPs (bottom 6.0%)
Ranked #680 of 711 Georgia ZIPs (bottom 4.4%)
Ranks are modeled estimates — ZIPs a few hundred places apart are effectively tied.
What defines this ZIP
Metrics where this ZIP sits in the tails of the national distribution — the ones that most set it apart. Select any tile for its definition and methodology.
Crowded housing
36.1%
in the top 0.4% nationally
Lower is healthier
ST99thUS99thDefinition & source ›
The share of occupied homes with more than one person per room, the Census definition of crowded housing.
Full methodology ›PFAS in drinking water
4.3%
in the bottom 0.6% nationally
Lower is healthier
ST1stUS1stDefinition & source ›
The modeled probability that PFAS “forever chemicals” would be detected in untreated groundwater in this area, the source private wells draw on.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Mammography
63%
in the bottom 1.6% nationally
Higher is healthier
ST1stUS2ndDefinition & source ›
The estimated share of women aged 50–74 who had a mammogram within the past two years.
Full methodology ›Independent-living disability
14.2%
in the top 3.8% nationally
Lower is healthier
ST94thUS96thDefinition & source ›
The estimated share of adults who have difficulty doing errands alone, such as visiting a doctor’s office, because of a physical, mental, or emotional condition.
Full methodology ›Poverty rate
0.00%
at the national minimum
Lower is healthier
ST1stUS1stDefinition & source ›
The share of residents whose income is below the federal poverty line, from the Census Bureau’s American Community Survey.
Full methodology ›Arsenic in groundwater
1.0%
in the bottom 2.6% nationally
Lower is healthier
ST13thUS3rdDefinition & source ›
The modeled probability that untreated groundwater in this area — the source private wells draw on — exceeds the federal arsenic limit of 10 micrograms per liter.
A modeled likelihood for untreated groundwater, the source drawn on by private wells, which are federally unregulated. It is not a measurement of treated water delivered by a public system, and it is not a test of any individual well.
Full methodology ›Slow internet speeds
4.5%
in the top 2.7% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The share of homes whose fastest available download speed is under 10 Mbps.
Full methodology ›Homeownership rate
30.6%
in the bottom 3.3% nationally
Higher is healthier
ST3rdUS3rdDefinition & source ›
The share of occupied homes that are owned, rather than rented, by the people living in them.
Full methodology ›Transportation noise
17.2%
in the top 3.4% nationally
Lower is healthier
ST97thUS97thDefinition & source ›
The modeled share of residents exposed to average road, rail, and aviation noise at or above 55 decibels — a noticeable background presence.
Full methodology ›Self-care disability
7.1%
in the top 5.4% nationally
Lower is healthier
ST88thUS95thDefinition & source ›
The estimated share of adults with difficulty dressing or bathing.
Full methodology ›The read
By the composite measure, Daisy, Georgia (ZIP 30423) sits in the bottom 6.0% nationally (30,162nd) and the bottom 4.4% of Georgia (680th).
The main burdens in the data show plainly and lead the picture: crowded housing sits in the top 0.4% nationally, modeled mammography registers in the bottom 1.6% nationally, and modeled independent living disability lands in the top 3.8% nationally. Slow internet speeds resides in the top 2.7% nationally, homeownership lies in the bottom 3.3% nationally, and modeled transportation noise settles in the top 3.4% nationally. Modeled self-care disability stands in the top 5.4% nationally. More positively, modeled pfas is in the bottom 0.6% nationally, and poverty rests at the national minimum. Modeled arsenic sits in the bottom 2.6% nationally.
Compared with the ZIPs that surround it, crowded housing runs far higher than the surrounding ZIPs on this measure. In plain language, pfas is the man-made "forever chemicals" that build up in the body and environment instead of breaking down; here a modeled estimate of the chance a private well contains them. Arsenic is a natural groundwater contaminant, here a modeled estimate of the chance private-well levels exceed a benchmark. Transportation noise is the modeled share of an area exposed to average road, rail, and air noise at or above 55 decibels. ZIP 30417, just across the boundary, ranks healthier overall.
What’s driving this score
Nine domains make up the ZipVitals Score — here is how this ZIP does on each, and how much each one counts.
Compared with the ZIP codes measured across all nine scoring domains — not with all US ZIP codes.
Nothing measured is lifting this score.
About typical
Environmental Hazard
healthier than 44%
14%
Healthcare Access
healthier than 48%
5%
Holding it back
Chronic Disease Burden
healthier than 5%
21%
Social Need / SDOH
healthier than 10%
16%
Preventive Care
healthier than 12%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 27%
8%
Disability
healthier than 4%
7%
Climate / Disaster Risk
healthier than 27%
5%
Nothing measured is lifting this score.
Holding it back
Chronic Disease Burden
healthier than 6%
21%
Social Need / SDOH
healthier than 20%
16%
Environmental Hazard
healthier than 34%
14%
Preventive Care
healthier than 13%
13%
Risk Behavior
healthier than 9%
11%
Mental Health
healthier than 10%
8%
Disability
healthier than 5%
7%
Climate / Disaster Risk
healthier than 34%
5%
Healthcare Access
healthier than 36%
5%
“Share” is how much of this ZIP’s score the domain accounts for. Percentages are rounded; higher is healthier in every domain. How the score works, and who it compares you with ›
Nearby & similar ZIPs
Editorially selected — see how this ZIP compares to nearby and similar places.
Nearby
30417
Georgiashares a border
Score 40.50
Closest healthier
31321
Georgiaabout 1.6 mi away
Score 45.60
Similar health profile
73015
Oklahoma99% similar profile
Score 31.20
How these were chosen: only ZIPs with a published Score appear — a nearby ZIP with too little data to score won’t. Nearby means closest by distance between ZIP boundaries, which can cross state lines. A similar health profile is a close match across the nine Score domains, not similar demographics. Distances are measured between ZIP boundaries — ZIPs that touch share a border. How distance is measured
Evidence
Every measure this page draws on, by source. Collapsed by default — the full data stays in the page for search engines either way.
Health OutcomesCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Arthritis among adults | 35.1% | 31.2–39.1 |
| High blood pressure among adults | 46.8% | 42.0–51.5 |
| Cancer (non-skin) or melanoma among adults | 10.0% | 8.9–11.2 |
| Current asthma among adults | 11.3% | 9.8–12.9 |
| Coronary heart disease among adults | 10.6% | 9.2–12.1 |
| Chronic obstructive pulmonary disease among adults | 13.0% | 10.8–15.4 |
| Depression among adults | 22.6% | 19.0–26.5 |
| Diagnosed diabetes among adults | 18.2% | 15.7–20.8 |
| High cholesterol among adults who have ever been screened | 42.5% | 37.8–47.4 |
| Obesity among adults | 42.1% | 33.3–51.1 |
| Stroke among adults | 5.9% | 5.2–6.8 |
| All teeth lost among adults aged >=65 years | 26.5% | 22.2–31.3 |
PreventionCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Current lack of health insurance among adults aged 18-64 years | 17.3% | 13.4–22.2 |
| Taking medicine to control high blood pressure among adults with high blood pressure | 81.1% | 78.4–83.7 |
| Visits to doctor for routine checkup within the past year among adults | 79.3% | 75.6–82.8 |
| Cholesterol screening among adults | 85.9% | 83.5–88.3 |
| Colorectal cancer screening among adults aged 45–75 years | 61.4% | 55.5–67.2 |
| Visited dentist or dental clinic in the past year among adults | 49.3% | 45.3–53.3 |
| Mammography use among women aged 50-74 years | 63.0% | 53.8–71.8 |
Health Risk BehaviorsCDC PLACES 2022 / 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Binge drinking among adults | 12.5% | 10.0–15.3 |
| Current cigarette smoking among adults | 22.7% | 18.7–27.0 |
| No leisure-time physical activity among adults | 38.8% | 32.7–45.6 |
| Short sleep duration among adults | 39.5% | 32.4–46.9 |
Health StatusCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Fair or poor self-rated health status among adults | 30.7% | 25.9–35.9 |
| Frequent mental distress among adults | 19.9% | 17.5–22.6 |
| Frequent physical distress among adults | 20.4% | 17.5–23.3 |
DisabilityCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Cognitive disability among adults | 19.8% | 16.9–23.1 |
| Any disability among adults | 42.7% | 37.1–48.6 |
| Hearing disability among adults | 11.0% | 9.6–12.5 |
| Independent living disability among adults | 14.2% | 12.0–16.6 |
| Mobility disability among adults | 23.8% | 20.2–27.6 |
| Self-care disability among adults | 7.1% | 6.0–8.4 |
| Vision disability among adults | 9.1% | 7.7–10.6 |
Health-Related Social NeedsCDC PLACES 2023 · BRFSS
| Measure | Crude prevalence | 95% CI |
|---|---|---|
| Lack of social and emotional support among adults | 25.2% | 21.0–29.8 |
| Food insecurity in the past 12 months among adults | 24.7% | 20.0–29.5 |
| Received food stamps in the past 12 months among adults | 23.4% | 18.7–27.9 |
| Housing insecurity in the past 12 months among adults | 18.0% | 14.8–21.1 |
| Lack of reliable transportation in the past 12 months among adults | 12.4% | 10.4–14.4 |
| Loneliness among adults | 38.1% | 32.0–44.2 |
| Utility services shut-off threat in the past 12 months among adults | 12.2% | 10.2–14.2 |
Community & economyCensus ACS 5-Year · 2024 release · observed
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Poverty rate | 0.0% | 10.6% (3.1–25.8%) n=32,364 | 13.8% (5.6–27.5%) n=709 |
| Uninsured 18–64 | 61.0% | 9.0% (1.5–24.3%) n=32,286 | 18.3% (8.4–29.7%) n=713 |
| No HS diploma (25+) | 35.2% | 7.9% (1.8–20.7%) n=32,505 | 12.1% (3.9–22.9%) n=720 |
| Bachelor's or higher (25+) | 53.7% | 23.3% (9.2–53.6%) n=32,505 | 21.3% (9.1–49.2%) n=720 |
| Unemployment rate (16+) | 0.0% | 3.9% (0.0–9.8%) n=32,274 | 4.1% (0.6–9.6%) n=714 |
| Households without a vehicle | 0.0% | 3.9% (0.0–12.5%) n=32,322 | 4.4% (0.3–12.3%) n=707 |
| Broadband subscription | 86.1% | 89.3% (75.1–97.1%) n=32,322 | 87.3% (72.5–96.4%) n=707 |
| Housing cost burden (≥30% income) | 38.9% | 23.7% (10.6–40.0%) n=32,322 | 25.1% (13.6–38.3%) n=707 |
| Homeownership rate | 30.6% | 78.7% (51.7–94.0%) n=32,322 | 73.7% (48.8–89.0%) n=707 |
| Crowded housing (>1 per room) | 36.1% | 1.3% (0.0–6.3%) n=32,322 | 1.7% (0.0–5.0%) n=707 |
| Foreign-born population | 66.1% | 2.6% (0.0–18.6%) n=32,553 | 3.8% (0.0–15.8%) n=720 |
| Single-parent households | 89.5% | 53.6% (37.3–74.1%) n=32,087 | 48.8% (36.1–66.7%) n=705 |
| Population 65+ | 23.2% | 19.4% (10.8–33.6%) n=32,553 | 17.0% (10.0–28.3%) n=720 |
| Median age | 61.8 yr | 42.2 yr (33.0–56.3) n=32,292 | 39.8 yr (33.1–51.4) n=715 |
| Median household income | — | $72,070 ($46,039–$118,707) n=30,318 | $65,254 ($44,032–$106,158) n=677 |
| Median home value | $131,300 | $222,200 ($100,300–$579,820) n=30,049 | $215,200 ($91,000–$413,150) n=666 |
| Median gross rent | — | $1,021 ($677–$1,912) n=25,670 | $993 ($694–$1,769) n=627 |
Life expectancyNCHS / RWJF USALEEP · model-based
| Measure | Value | US median (p10–p90) | GA median (p10–p90) |
|---|---|---|---|
| Life expectancy at birth | 74.5 yr ± 1.44 | 78.9 yr (74.7–82.8) n=31,308 | 76.1 yr (73.3–79.7) n=668 |
About the ± — it’s this estimate’s give-or-take (statisticians call it the standard error). The true life expectancy for this ZIP most likely falls within 1.44 years of 74.5, and it’s very unlikely to be off by more than twice that.
More ZIPs to explore ▾More ZIPs to explore ▴
How these lists were built: they draw only from ZIPs that have a published Score, so ZIPs with too little data to score are not listed. Distance-based lists use distance between ZIP boundaries with no state filter, so an out-of-state ZIP can appear. Statistically similar means a close match across the nine Score domains, not a demographic match: the measure is the cosine similarity between two ZIPs’ domain scores, taken over the domains both ZIPs have data for and only where that overlap covers at least six of the nine — and where no ZIP clears that minimum-overlap floor, that list is left out rather than filled with a weak match. How distance is measured